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Full Stack Ai Engineer Jobs in Atlanta, GA (NOW HIRING)

ntegral

Full Stack Developer

Atlanta, GA · Hybrid

About Ntegral Ntegral is an AI-first technology company specializing in cloud marketplace solutions ... Position Overview Ntegral is seeking a Full Stack Developer to own the development and ongoing ...

WickedFile

Full Stack Software Engineer

Roswell, GA · On-site

$80K - $100K/yr

We want someone who is AI-first in their development practice. That means more than shipping AI ... What we are looking for: * 6+ years building production full-stack software, with a track record of ...

Truist

Full Stack Engineer

Atlanta, GA

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Awareness of AI / GenAI use cases in analytics or automation. Preferred Qualifications 1. Master ...

Truist

Full Stack Engineer

Atlanta, GA · On-site

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Awareness of AI / GenAI use cases in analytics or automation. Preferred Qualifications 1. Master ...

Evident ID

Senior Full Stack Software Engineer

Atlanta, GA · On-site

$90 - $120/hr

At Evident, we're looking for a full stack engineer who can own a feature from database to UI -- ... Use AI coding assistants and LLM‑powered workflows as a genuine part of how you build -- across ...

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Showing results 41-60

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Atlanta, GA

Full Stack Ai Engineer information

See Atlanta, GA salary details

$42.8K

$129.6K

$183.2K

How much do full stack ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full stack ai engineer in Atlanta, GA is $129,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Atlanta, GA?

For Full Stack Ai Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Atlanta, GA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Full Stack Ai Engineer jobs?

Cities near Atlanta, GA with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $129,602 per year, or $62.3 per hour.

AI-Assisted Developer / AI Product Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 17 days ago

Job description

Overview:
Job Title: AI-Assisted Developer / AI Product Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The days of writing every line of code from scratch are over. R2 Technologies is seeking an AI-Assisted Developer / AI Product Engineer who treats AI coding tools as their pair-programming partner. You will act as the bridge between product strategy and technical execution, utilizing advanced AI coding assistants (like Cursor, GitHub Copilot, and Claude Code) to achieve 10x productivity. Your primary focus will be rapidly prototyping, building, and scaling full-stack applications and integrating our proprietary SmartEnt platform with enterprise client systems. You will not just write code; you will architect prompts, orchestrate LLM workflows, and rigorously validate AI-generated outputs.
Key Responsibilities: * Rapidly prototype and develop end-to-end full-stack applications (using Java Spring Boot, .NET Core, React, or Angular) by heavily leveraging AI coding assistants.
  • Translate high-level business and product requirements into effective system architectures and advanced prompts for AI-driven code generation.
  • Rigorously review, debug, and refactor AI-generated code to ensure it meets strict enterprise standards for security, performance, and maintainability.
  • Integrate internal applications with leading LLM APIs (Anthropic, OpenAI, Gemini) and construct visual automation workflows using tools like n8n.
  • Implement AI security best practices, recognizing and mitigating risks such as AI hallucinations, insecure dependencies, and prompt injection vulnerabilities in generated code.
  • Collaborate closely with Agentic AI Engineers to build intuitive front-end user interfaces that interact seamlessly with complex, autonomous backend agents.

Qualifications: * Up to 3 years of software development experience in a full-stack environment.
  • Demonstrated power-user proficiency with modern AI coding assistants (e.g., Cursor, GitHub Copilot, Replit AI) and a strong grasp of developer-focused prompt engineering.
  • Solid foundation in modern programming languages (Java 17+, C# .NET 8+, Python) and front-end frameworks (React, Angular, TypeScript).
  • Experience integrating RESTful APIs, GraphQL, and cloud-native services (AWS, Azure, or GCP).
  • Critical thinking and debugging skills necessary to evaluate, secure, and optimize AI-generated architectures.

Entrepreneurial mindset with a bias for action, rapid iteration, and delivering functional product value over manual boilerplate coding.
Skills:
java,dotnet,react,angular

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